Without loss of generality, we describe NeuroXplorer where ANN workloads are specified using Keras and SNN workloads using a combination of PyNN and PyCARL [1]}, a Python wrapper for SNN simulations using CARLsim. Additionally, we use our previously proposed SNN converter [2]} for SNN conversion of ANN workloads in order to map them to hardware. NeuroXplorer can be trivially extended to work with other SNN simulation tools such as GeNN [3]} and Spyketorch [4]}, and with other SNN conversion approaches such as [5]}, [6]}, [7]}.
